Scaling Up Graph Neural Networks Via Graph Coarsening

Zengfeng Huang, Shengzhong Zhang, Chong Xi +2

Scalability of graph neural networks remains one of the major challenges in graph machine learning. Since the representation of a node is computed by recursively aggregating and tr…